The DOI matches its Crossref record; 62 of the 63 references it cites were found in a registry or an index.
Investigating student motivation in the context of a learning analytics intervention during a summer bridge program
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“Furthermore, recent studies on the effectiveness of existing dashboards suggest that learner goal orientations (Lonn et al., 2015) and differences in achievement levels (Park & Jo, 2015) need to be carefully considered in the design of any intervention, as the resulting approaches and tools can affect students' interpretations of their data and subsequent academic success.”
From Linking learning behavior analytics and learning science concepts: Designing a learning analytics dashboard for feedback to support learning regulation (2020) · cites this paper as Lonn et al., 2015
In the citing paper
“Several researchers argue that showing an aggregated analysis with respect to peer performance is a good approach (Lonn et al., 2015).”
From Linking learning behavior analytics and learning science concepts: Designing a learning analytics dashboard for feedback to support learning regulation (2020) · cites this paper as Lonn et al., 2015
Citations
Cites
Intrinsic Motivation and Self-Determination in Human Behavior
Deci, E. L., & Ryan, R. M. (1985) · doi:10.1007/978-1-4899-2271-7 · Cited by 26,772
Leaving College: Rethinking the Causes and Cures of Student Attrition
Bean, J. P., & Tinto, V. (1988) · The Journal of Higher Education · doi:10.2307/1982243 · Cited by 7,408
Student Involvement: A Developmental Theory for Higher Education
Astin, A. W. (2014) · Routledge eBooks · doi:10.4324/9781315051888-15 · Cited by 5,251
A 2 × 2 achievement goal framework.
Elliot, A. J., & McGregor, H. A. (2001) · Journal of Personality and Social Psychology · doi:10.1037//0022-3514.80.3.501 · Cited by 3,953
Cognitive Apprenticeship: Teaching the Crafts of Reading, Writing, and Mathematics
Collins, A., Brown, J. S., & Newman, S. E. (2018) · Knowing, Learning, and Instruction · doi:10.4324/9781315044408-14 · Cited by 3,674
Goals: An approach to motivation and achievement.
Elliott, E. S., & Dweck, C. S. (1988) · Journal of Personality and Social Psychology · doi:10.1037//0022-3514.54.1.5 · Cited by 3,098
Approach and avoidance achievement goals and intrinsic motivation: A mediational analysis.
Elliot, A. J., & Harackiewicz, J. M. (1996) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.70.3.461 · Cited by 2,666
(2013) · Cited by 1,951
(2006) · US Department of Education · Cited by 1,586
Revision of achievement goal theory: Necessary and illuminating.
Harackiewicz, J. M., Barron, K. E., Pintrich, P. R., Elliot, A. J., & Thrash, T. M. (2002) · Journal of Educational Psychology · doi:10.1037/0022-0663.94.3.638 · Cited by 1,474
(2005) · Jossey-Bass, An Imprint of Wiley · Cited by 1,462
Cognitive Apprenticeship: Teaching the Craft of Reading, Writing and Mathematics
Collins, A., Brown, J. S., Newman, S. E., & Montclair State University (1988) · Thinking: The Journal of Philosophy for Children · doi:10.5840/thinking19888129 · Cited by 1,299
Preventing students from dropping out
Astin, A. W. (1975) · Bibliothèque et Archives nationales du Québec (Québec government) · Cited by 1,244
A Conceptual History of the Achievement Goal Construct.
Elliot, A. J. (2005) · Cited by 1,170
Mining LMS data to develop an “early warning system” for educators: A proof of concept
Macfadyen, L. P., & Dawson, S. (2010) · Computers & Education · doi:10.1016/j.compedu.2009.09.008 · Cited by 1,045
Dennis, J. M., Phinney, J. S., & Chuateco, L. I. (2005) · Journal of college student development · doi:10.1353/csd.2005.0023 · Cited by 1,000
Course signals at Purdue: using learning analytics to increase student success
Arnold, K. E., & Pistilli, M. D. (2012) · Proceedings of the 2nd International Conference on Learning Analytics and Knowledge · doi:10.1145/2330601.2330666 · Cited by 987
Mentkowski, M., & Astin, A. W. (1992) · The Journal of Higher Education · doi:10.2307/1982058 · Cited by 959
Preece, J. J., Rogers, Y., & Sharp, H. (2002) · Cited by 887
Socioeconomic Status and College: How SES Affects College Experiences and Outcomes
Walpole, M. (2003) · The Review of Higher Education · doi:10.1353/rhe.2003.0044 · Cited by 751
Mentkowski, M. (1992) · The Journal of Higher Education · doi:10.1080/00221546.1992.11778403 · Cited by 711
Cognitive apprenticeship : Teaching the craft of reading, writing, and mathematics
Collins, A. J. (1989) · Defense Technical Information Center (DTIC) · Cited by 692
Reasons for Studying: Motivational Orientations and Study Strategies
Nolen, S. B. (1988) · Cognition and Instruction · doi:10.1207/s1532690xci0504_2 · Cited by 670
Leaving College: Rethinking the Causes and Cures of Student Attrition.
Wagenaar, T. C., & Tinto, V. (1988) · Contemporary Sociology A Journal of Reviews · doi:10.2307/2069700 · Cited by 600
Classroom learning and motivation: Clarifying and expanding goal theory
Blumenfeld, P. C. (1992) · Journal of Educational Psychology · doi:10.1037/0022-0663.84.3.272 · Cited by 587
The role of academic and non-academic factors in improving college retention: ACT policy report
Lotkowski, V. A., Robbins, S. B., & Noeth, R. J. (2004) · PsycEXTRA Dataset · doi:10.1037/e420492008-001 · Cited by 443
Achievement Goals and Intrinsic Motivation: A Meta-Analytic Review
Rawsthorne, L. J., & Elliot, A. J. (1999) · Personality and Social Psychology Review · doi:10.1207/s15327957pspr0304_3 · Cited by 443
Tracking student behavior, persistence, and achievement in online courses
Morris, L. V., Finnegan, C., & Wu, S.-S. (2005) · The Internet and Higher Education · doi:10.1016/j.iheduc.2005.06.009 · Cited by 424
Clow, D. (2012) · International Conference on Learning Analytics and Knowledge (LAK) · doi:10.1145/2330601.2330636 · Cited by 407
Achievement goals and intrinsic motivation: Their relation and their role in adaptive motivation
Heyman, G. D., & Dweck, C. S. (1992) · Motivation and Emotion · doi:10.1007/bf00991653 · Cited by 335
DESIRE TO FINISH COLLEGE: An Empirical Link Between Motivation and Persistence
Allen, D. F. (1999) · Research in Higher Education · doi:10.1023/a:1018740226006 · Cited by 332
Duval, E. (2011) · International Conference on Learning Analytics and Knowledge (LAK) · doi:10.1145/2090116.2090118 · Cited by 330
(2012) · Cited by 311
Strayhorn, T. L. (2011) · American Behavioral Scientist · doi:10.1177/0002764210381871 · Cited by 275
Blikstein, P. (2013) · International Conference on Learning Analytics and Knowledge (LAK) · doi:10.1145/2460296.2460316 · Cited by 275
Visualizing patterns of student engagement and performance in MOOCs
Coffrin, C., Corrin, L., Barba, P. D., & Kennedy, G. E. (2014) · International Conference on Learning Analytics and Knowledge (LAK) · doi:10.1145/2567574.2567586 · Cited by 219
Reconstructing the First Year of College.
Tinto, V. (1996) · Planning for higher education · Cited by 174
Lárusson, J. A., & White, B. (2014) · Springer eBooks · doi:10.1007/978-1-4614-3305-7 · Cited by 173
Fritz, J. (2010) · The Internet and Higher Education · doi:10.1016/j.iheduc.2010.07.007 · Cited by 140
Barber, R. T., & Sharkey, M. (2012) · International Conference on Learning Analytics and Knowledge (LAK) · doi:10.1145/2330601.2330664 · Cited by 125
Cabrera, N. L., Miner, D. D., & Milem, J. F. (2013) · Research in Higher Education · doi:10.1007/s11162-013-9286-7 · Cited by 123
Krumm, A. E., Waddington, R. J., Teasley, S. D., & Lonn, S. (2014) · Springer eBooks · doi:10.1007/978-1-4614-3305-7_6 · Cited by 114
Self-citationBridge to Success: Insight Into Summer Bridge Program Students' College Transition
Walpole, M., Simmerman, H., Mack, C., Mills, J., Scales, M., & Albano, D. (2008) · Journal of The First-Year Experience & Students in Transition · doi:10.65005/154230708813694883 · Cited by 105
Perceptions and use of an early warning system during a higher education transition program
Aguilar, S. J., Lonn, S., & Teasley, S. D. (2014) · International Conference on Learning Analytics and Knowledge (LAK) · doi:10.1145/2567574.2567625 · Cited by 63
Self-citationInferring higher level learning information from low level data for the Khan Academy platform
Muñoz‐Merino, P. J., Ruipérez‐Valiente, J. A., & Kloos, C. D. (2013) · International Conference on Learning Analytics and Knowledge (LAK) · doi:10.1145/2460296.2460318 · Cited by 57
THE BENEFITS OF SUMMER BRIDGE PROGRAMS FOR UNDERREPRESENTED AND LOW‐INCOME TRANSFER STUDENTS
Ackermann, S. P. (1991) · Community Junior College Research Quarterly of Research and Practice · doi:10.1080/0361697910150209 · Cited by 57
Grann, J., & Bushway, D. J. (2014) · International Conference on Learning Analytics and Knowledge (LAK) · doi:10.1145/2567574.2567622 · Cited by 55
The Wise Summer Bridge Program: Assessing Student Attrition, Retention, And Program Effectiveness
Newton, L. D., Fletcher, S. L., Newell, D., & Anderson-Rowland, M. R. (2020) · IEEE Lasers and Electro-Optics Society Annual Meeting (LEOS) · doi:10.18260/1-2--10034 · Cited by 50
The Impacts for Upward Bound: Final Report for Phase I of the National EvaluationPreprint
Myers, D., & Schirm, A. L. (1999) · RePEc: Research Papers in Economics · Cited by 49
Bridging the gap from knowledge to action
Lonn, S., Krumm, A. E., Waddington, R. J., & Teasley, S. D. (2012) · International Conference on Learning Analytics and Knowledge (LAK) · doi:10.1145/2330601.2330647 · Cited by 44
Self-citationStudents’ Personal Growth During the First Two Years of College
Terenzini, P. T., & Wright, T. M. (1987) · Review of higher education/The review of higher education · doi:10.1353/rhe.1987.0022 · Cited by 39
Issues, challenges, and lessons learned when scaling up a learning analytics intervention
Lonn, S., Aguilar, S. J., & Teasley, S. D. (2013) · International Conference on Learning Analytics and Knowledge (LAK) · doi:10.1145/2460296.2460343 · Cited by 39
Self-citationSuzuki, A., Amrein‐Beardsley, A., & Perry, N. (2012) · Journal of The First-Year Experience & Students in Transition · doi:10.65005/154230712813694392 · Cited by 33
TrAVis to enhance online tutoring and learning activities
May, M., George, S., & Prévôt, P. (2011) · Interactive Technology and Smart Education · doi:10.1108/17415651111125513 · Cited by 33
Allen, D. F., & Bir, B. (2012) · Journal of College Student Retention Research Theory & Practice · doi:10.2190/cs.13.4.f · Cited by 33
Network analysis of trace data for the support of group work
Goggins, S., Galyen, K., & Laffey, J. M. (2010) · doi:10.1145/1880071.1880089 · Cited by 30
Evaluation of Summer Bridge Programs
Garcia, L. D., & Paz, C. C. (2009) · About Campus Enriching the Student Learning Experience · doi:10.1002/aca.299 · Cited by 29
Teranishi, R. T. (2013) · The Journal of Higher Education · doi:10.1080/00221546.2013.11777308 · Cited by 29
Summer Bridge Programs: Supporting All Students. ERIC Digest.
Kezar, A. J. (2000) · Cited by 27
Bottom line: Evaluation of summer bridge programs
Garcia, L. D., & Paz, C. C. (2009) · About Campus Enriching the Student Learning Experience · doi:10.1002/abc.299 · Cited by 26
Lessons learned: Institutional research as support for academic improvement
John, E. P. S. (2006) · New Directions for Institutional Research · doi:10.1002/ir.182 · Cited by 6
Research works printed but not linked: 3
- Fitts, J. D. (1989). A comparison of locus of control and achievement among remedial summer bridge and nonbridge students in community colleges in New Jersey (Unpublished doctoral dissertation). Rutgers University, New Brunswick, NJ.
- Howley, I., & Rosé, C. P. (2014). Undergraduate attitudes toward help-seeking. In Proceedings of the 11th international conference of the learning sciences (pp. 1561–2562). Boulder, CO: International Society of the Learning Sciences.
- Lepper, 1981, Intrinsic and extrinsic motivation in children: Detrimental effects of superfluous social controls, Vol. 14, 155
Cited by
Sorted by citations
Aldowah, H., Al-Samarraie, H., & Fauzy, W. M. (2019) · Telematics and Informatics · doi:10.1016/j.tele.2019.01.007 · Cited by 564
Matcha, W., Uzir, N. A., Gašević, D., & Pardo, A. (2019) · IEEE Transactions on Learning Technologies · doi:10.1109/tlt.2019.2916802 · Cited by 472
Visual learning analytics of educational data: A systematic literature review and research agenda
Vieira, C., Parsons, P., & Byrd, V. (2018) · Computers & Education · doi:10.1016/j.compedu.2018.03.018 · Cited by 316
Sedrakyan, G., Malmberg, J., Verbert, K., Järvelä, S., & Kirschner, P. A. (2020) · Computers in Human Behavior · doi:10.1016/j.chb.2018.05.004 · Cited by 283
Jivet, I., Scheffel, M., Specht, M. M., & Drachsler, H. (2018) · International Conference on Learning Analytics and Knowledge (LAK) · doi:10.1145/3170358.3170421 · Cited by 310
Metadata
- Authors
- Lonn, S., Aguilar, S. J., & Teasley, S. D.
- Affiliations
- University of Michigan (US)
- Corresponding author
- Lonn, Steven
- Venue
- Computers in Human Behavior
- Publisher
- Elsevier BV
- Published
- 2015-06
- Volume
- 47
- Pages
- 90-97
- ISSN
- 0747-5632 (ISSN-L)
- OpenAlex
- W1981210033
- Cited by
- 152
- References
- 63
- Citations by year
- 2026: 7 · 2025: 10 · 2024: 7 · 2023: 14 · 2022: 16 · 2021: 17 · 2020: 22 · 2019: 21 · 2018: 19 · 2017: 12 · 2016: 7
- FWCI
- 9.42
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Computers in Human Behavior (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Science Applications › Online Learning and Analytics
- Social Sciences › Education › Higher Education Research Studies
- Social Sciences › Psychology › Developmental and Educational Psychology › Education, Achievement, and Giftedness
- Keywords
- student motivation, summer bridge programs, mastery orientation, academic advising, student retention, at-risk students, high-impact practices
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